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文本挖掘技术在科研信息自动建议中的应用 被引量：2

Study on science and research information’s auto-suggestion method based on text mining
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摘要 研究了科研期刊文献文本数据的特点,将文本挖掘技术用于对科研期刊文本数据的分析和处理中,提出了基于文本挖掘技术的科研信息自动建议系统。结合国内信息领域较有影响的3种期刊2007全年的期刊文章,进行了实例仿真。 This paper studies the characteristics of text data from research journal literature,applies the popular text mining technique into analyzing and processing research literature text data,and proposes research information’s auto-suggestion system.Case study on journal documents is discussed.
作者 李芳 朱群雄
机构地区 北京化工大学信息科学与技术学院
出处 《计算机工程与应用》 CSCD 北大核心 2011年第10期118-119,130,共3页 Computer Engineering and Applications
基金 国家自然科学基金 国家高技术研究发展计划(863)No.2006AA04Z184~~
关键词 文本挖掘 自动建议 文本建模 聚类 text mining auto-suggestion text modeling clustering
分类号 TP31 [自动化与计算机技术—计算机软件与理论]
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参考文献4

  • 1谌志群,张国煊.文本挖掘研究进展[J].模式识别与人工智能,2005,18(1):65-74. 被引量：49
  • 2Lee D D, Seung H S.Algorithms for non-negative matrix factorization[J].Advances in Neural Information Processing Systems, 2000,13:556-562.
  • 3Zhu Haiping,Zhang Huajie, Yu Yong.Deeper semantics goes a long way:Fuzzified representation and matching of color descriptions for online clothing search[C]//Proceedings of the 7th Conference on Web Information Systems (WISE), Wuharl, China, 2006 : 23-26.
  • 4Pons-Porrata A, Berlanga-Llavori R, Ruiz-Shulcloper J.Topic discovery based on text mining techniques[J].Information Processing and Management, 2007,43 : 752-768.

二级参考文献80

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共引文献48

同被引文献13

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二级引证文献1

计算机工程与应用
2011年 第10期

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